Title :
Mammogram images thresholding using different thresholding techniques
Author :
Al-Bayati, M. ; El-Zaart, Ali
Author_Institution :
Dept. of Math. & Comput. Sci., Beirut Arab Univ., Beirut, Lebanon
Abstract :
The purpose of this study is to apply different thresholding techniques in mammogram images. We will determine which technique is the best in thresholding (extraction) malignant and benign tumors from the rest breast tissues. The used technique is Otsu method, because it is one of the most effective methods for most real world views with regard to uniformity and shape measures.
Keywords :
diagnostic radiography; feature extraction; image segmentation; mammography; medical image processing; tumours; Otsu method; benign tumors; malignant tumors; mammogram images thresholding; radiology; rest breast tissues; tumour extraction; Breast cancer; Breast tissue; Histograms; Image segmentation; Tumors; Breast cancer; Mammogram; Otsu method; Segmentation; Threshold;
Conference_Titel :
Advances in Computational Tools for Engineering Applications (ACTEA), 2012 2nd International Conference on
Conference_Location :
Beirut
Print_ISBN :
978-1-4673-2488-5
DOI :
10.1109/ICTEA.2012.6462871
